The current version of Rulesrc is in this post:
Re: Rulesrc
Related scripts:
progRulesrc: Progressively broadens search giving good results for high-depth predictions
iterRulesrc: Lists non-equivalent results for highly productive starting patterns (e.g. b-heptomino)
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The other way round as usual and with a great filter to reduce the possibilities from all non-totalistic possibilities.
A few months ago this must have been posted by Naszvadi:
Code: Select all
# Rule computation script for use with Golly.
# Author: Nathaniel Johnston (nathaniel@nathanieljohnston.com), June 2009.
# Updated by: Peter, NASZVADI (), June 2017.
# Gives the maximal family of rules that a still life, oscillator, or spaceship
# works under. Must be called while the rule is set of one such family
# For example, to find out what rules a glider works in, first set the rule
# to Life or HighLife, not Seeds.
# Handles nontotalistic rules, too, so it needs Golly 2.8 or newer.
import golly as g
from glife import validint
from string import replace
Hensel = [
['0'],
['1c', '1e'],
['2a', '2c', '2e', '2i', '2k', '2n'],
['3a', '3c', '3e', '3i', '3j', '3k', '3n', '3q', '3r', '3y'],
['4a', '4c', '4e', '4i', '4j', '4k', '4n', '4q', '4r', '4t', '4w', '4y', '4z'],
['5a', '5c', '5e', '5i', '5j', '5k', '5n', '5q', '5r', '5y'],
['6a', '6c', '6e', '6i', '6k', '6n'],
['7c', '7e'],
['8']
]
# Python versions < 2.4 don't have "sorted" built-in
try:
sorted
except NameError:
def sorted(inlist):
outlist = list(inlist)
outlist.sort()
return outlist
# --------------------------------------------------------------------
def chunks(l, n):
for i in range(0, len(l), n):
yield l[i:i+n]
# --------------------------------------------------------------------
def rulestringopt(a):
result = ''
context = ''
lastnum = ''
lastcontext = ''
for i in a:
if i in 'BS':
context = i
result += i
elif i in '012345678':
if (i == lastnum) and (lastcontext == context):
pass
else:
lastcontext = context
lastnum = i
result += i
else:
result += i
result = replace(result, '4aceijknqrtwyz', '4')
result = replace(result, '3aceijknqry', '3')
result = replace(result, '5aceijknqry', '5')
result = replace(result, '2aceikn', '2')
result = replace(result, '6aceikn', '6')
result = replace(result, '1ce', '1')
result = replace(result, '7ce', '7')
return result
clist = []
rule = g.getrule().split(':')[0]
fuzzer = rule + '9'
oldrule = rule
rule = ''
context = ''
deletefrom = []
for i in fuzzer:
if i == '-':
deletefrom = [x[1] for x in Hensel[int(context)]]
elif i in '0123456789/S':
if deletefrom:
rule += ''.join(deletefrom)
deletefrom = []
context = i
if len(deletefrom) == 0:
rule += i
elif i in deletefrom:
deletefrom.remove(i)
rule = rule.strip('9')
if not (rule[0] == 'B' and '/S' in rule):
g.exit('Please set Golly to a Life-like rule.')
if g.empty():
g.exit('The pattern is empty.')
s = g.getstring('Enter the period:', '', 'Rules calculator')
if not validint(s):
g.exit('Bad number: %s' % s)
numsteps = int(s)
if numsteps < 1:
g.exit('Period must be at least 1.')
g.select(g.getrect())
g.copy()
s = int(s)
for i in range(0,s):
g.run(1)
clist.append(list(chunks(g.getcells(g.getrect()), 2)))
mcc = min(clist[i])
clist[i] = [[x[0] - mcc[0], x[1] - mcc[1]] for x in clist[i]]
g.show('Processing...')
ruleArr = rule.split('/')
ruleArr[0] = ruleArr[0].lstrip('B')
ruleArr[1] = ruleArr[1].lstrip('S')
b_need = []
b_OK = []
s_need = []
s_OK = []
context = ''
fuzzed = ruleArr[0] + '9'
for i in fuzzed:
if i in '0123456789':
if len(context) == 1:
b_need += Hensel[int(context)]
b_OK += Hensel[int(context)]
context = i
elif context != '':
b_need.append(context[0] + i)
b_OK.append(context[0] + i)
context += context[0]
context = ''
fuzzed = ruleArr[1] + '9'
for i in fuzzed:
if i in '0123456789':
if len(context) == 1:
s_need += Hensel[int(context)]
s_OK += Hensel[int(context)]
context = i
elif context != '':
s_need.append(context[0] + i)
s_OK.append(context[0] + i)
context += context[0]
for i in [iter2 for iter1 in Hensel for iter2 in iter1]:
if not i in b_OK:
b_OK.append(i)
execfor = 1
# B0 and nontotalistic rulestrings are mutually exclusive
try:
g.setrule(rulestringopt('B' + ''.join(b_OK) + '/S' + ruleArr[1]))
except:
b_OK.remove(i)
execfor = 0
for j in range(0, s * execfor):
g.run(1)
try:
dlist = list(chunks(g.getcells(g.getrect()), 2))
mcc = min(dlist)
dlist = [[x[0] - mcc[0], x[1] - mcc[1]] for x in dlist]
if not(clist[j] == dlist):
b_OK.remove(i)
break
except:
b_OK.remove(i)
break
g.new('')
g.paste(0, 0, 'or')
g.select(g.getrect())
b_OK.sort()
if not i in s_OK:
s_OK.append(i)
execfor = 1
# B0 and nontotalistic rulestrings are mutually exclusive
try:
g.setrule(rulestringopt('B' + ruleArr[0] + '/S' + ''.join(s_OK)))
except:
s_OK.remove(i)
execfor = 0
for j in range(0, s * execfor):
g.run(1)
try:
dlist = list(chunks(g.getcells(g.getrect()), 2))
mcc = min(dlist)
dlist = [[x[0] - mcc[0], x[1] - mcc[1]] for x in dlist]
if not(clist[j] == dlist):
s_OK.remove(i)
break
except:
s_OK.remove(i)
break
g.new('')
g.paste(0, 0, 'or')
g.select(g.getrect())
s_OK.sort()
if i in b_need:
b_need.remove(i)
g.setrule(rulestringopt('B' + ''.join(b_need) + '/S' + ruleArr[1]))
for j in range(0, s):
g.run(1)
try:
dlist = list(chunks(g.getcells(g.getrect()), 2))
mcc = min(dlist)
dlist = [[x[0] - mcc[0], x[1] - mcc[1]] for x in dlist]
if not(clist[j] == dlist):
b_need.append(i)
break
except:
b_need.append(i)
break
g.new('')
g.paste(0, 0, 'or')
g.select(g.getrect())
b_need.sort()
if i in s_need:
s_need.remove(i)
g.setrule(rulestringopt('B' + ruleArr[0] + '/S' + ''.join(s_need)))
for j in range(0, s):
g.run(1)
try:
dlist = list(chunks(g.getcells(g.getrect()), 2))
mcc = min(dlist)
dlist = [[x[0] - mcc[0], x[1] - mcc[1]] for x in dlist]
if not(clist[j] == dlist):
s_need.append(i)
break
except:
s_need.append(i)
break
g.new('')
g.paste(0, 0, 'or')
g.select(g.getrect())
s_need.sort()
g.setrule(oldrule)
ruleres = 'B' + ''.join(sorted(b_need)) + '/S' + ''.join(sorted(s_need)) + \
' - B' + ''.join(sorted(b_OK)) + '/S' + ''.join(sorted(s_OK))
ruleres = rulestringopt(ruleres)
g.show(ruleres)
Code: Select all
x = 6, y = 7, rule = B3/S23
2b2o$bo2bo$2o2b2o$b4o$bo2bo2$2b2o!
In this case that's a lot. In other better examples there will only be about 2000 rules or so.
A script to just evolve the pattern for 1000 generations in every single rule (where those initial steps are preserved) and check whether it's a spaceship, then save it to an output file, seems a very easy way to find new spaceships.